Daman Kaur

I build AI that enterprises can verify, regulators can trust, and teams can actually use.

After a decade building cloud and AI infrastructure at Microsoft and HPE for the world's largest enterprises, I left to solve what I see as the need of the hour — making AI verifiable, governed, and accessible. Starting with legal.

What I'm building
Daman Kaur
The path from enterprise to founder

My Story

1

The Enterprise Years

Engineering degree from BITS Pilani, then a decade at Microsoft and HPE — building cloud and AI infrastructure serving Fortune 500 companies. Learned how enterprises think about trust, compliance, and scale — lessons most startup founders never get.

2

The Exploration Phase

After leaving Microsoft, I spent two years building experimental AI tools to understand what LLMs could and couldn't do. Markdown Converters processed 20,000+ documents — and legal industry users kept showing up. PaperAI taught me that AI outputs need structured human oversight, not blind trust. Every user asked the same question: "Can we prove this AI output is correct?"

3

Becoming a Mother, Becoming a Founder

Motherhood taught me something no corporate role ever did — how to build with fierce clarity about what matters. An executive product management programme at IIM Lucknow sharpened the business lens. I left Microsoft, not despite becoming a mother, but because of the perspective and discipline it gave me. Understanding what is important and going for it irrespective of how difficult it is. Somewhere in between, I also built DrawInkPaper — free drawing tutorials for kids, because I like art and wanted to share it.

4

Building Verifiable Agentic AI

That question became the founding thesis for LegalAI Space — AI governance infrastructure purpose-built for legal teams. A multi-agent pipeline that verifies, complies, and proves. Starting with legal, where the consequences of unverified AI are career-ending.

What I'm building

From document intelligence to governed AI agents — each step built on the last.

LegalAI Space

AI agents and governance for legal teams

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Purpose-built AI agents that do real legal work — research, contract review, compliance monitoring, audit & risk — with a governance layer that makes every output verifiable and audit-ready. Starting in the UK and EU, built to scale globally.

Research Contract Review Compliance Audit & Risk + more coming

Every agent output is independently verified against authoritative legal databases and delivered with a full audit trail.

Built along the way

Markdown Converters

File-to-markdown conversion for LLM ingestion. 50+ formats, 20K+ docs processed. Legal users kept appearing.

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PaperAI

AI document digitisation with human review. Taught me AI outputs need structured oversight, not blind trust.

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AlaiStack Agents

Private AI agents with verification and audit trails. The platform layer underneath it all.

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Writing & Thinking

On AI governance, building in public, and the things I'm learning along the way.

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Book

Implementing Hybrid Cloud with Azure Arc Book Cover

Implementing Hybrid Cloud with Azure Arc

Packt Publishing, 2022

A practitioner's guide to designing, deploying, and governing hybrid and multi-cloud environments using Azure Arc. Covers Kubernetes integration, AI/ML pipelines, PaaS data services, and unified governance across on-premises and cloud infrastructure.

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Get in touch

Whether you're a law firm exploring AI governance, a developer needing conversion tools, or an investor interested in verifiable AI — I'd love to hear from you. You can also connect with me on LinkedIn.

daman@alaistack.com